Daksh Soni
@dakshsoni
AI/ML Engineer building production-grade RAG and multi-agent LLM systems with measurable business impact.
What I'm looking for
I’m an AI/ML Engineer with 2+ years building production-grade AI systems, focused on RAG pipelines, multi-agent workflows, and cloud-native microservices. At HPE Juniper Networking, I architected and maintained multi-agent LLM systems for three enterprise teams, improving RFP/RFI efficiency, pricing analysis throughput, and chatbot performance.
I ship and maintain enterprise AI products across multiple teams—implementing advanced RAG with rerankers and guardrails to boost answer accuracy by 25%, and designing services on AWS EKS with Docker/Kubernetes and CI/CD. Earlier, I built an intranet chatbot with RAG for 500+ employees, created evaluation-driven testing to reduce production bugs by 45%, and co-founded an LLM-driven learning platform deployed to 200+ students.
Experience
Work history, roles, and key accomplishments
Software Engineer 2
HPE Juniper Networking
Jul 2025 - Present (9 months)
Architected and maintained multi-agent LLM systems for RFP/RFI automation, finance SKU analysis, and a supply chain Marvis chatbot, improving operational efficiency by 40–60%. Reduced RFP/RFI drafting time by 40% (saved 120+ man-hours/month) and increased pricing accuracy by 30% while cutting analysis time from 15 to 6 hours per cycle.
Co-Founder
Epicenter Llp
Nov 2023 - Nov 2024 (1 year)
Founded an LLM-driven personalized learning platform, deployed to 200+ students across 3 schools, improving engagement by 35% and retention by 28%. Built end-to-end data extraction and LLM personalization pipelines and led architecture/prototyping and beta deployment with cross-functional stakeholders.
Software Engineering Intern
HPE Juniper Networking
Jan 2024 - Jun 2024 (5 months)
Developed an enterprise intranet chatbot using RAG, rerankers, and guardrails for 500+ employees, increasing response relevance by 20%. Automated CI/CD with GitLab and Airflow (reducing release effort by 30%) and created an evaluation-focused testing framework that reduced production bugs by 45%.
AI/ML Intern
Clarion Technologies
Jul 2023 - Sep 2023 (2 months)
Designed an LLM-based meeting summarization system, cutting documentation effort by 50% (about 30 minutes saved per meeting). Implemented a resource optimization proof-of-concept using skill-graph modeling to reduce staffing planning time by 40%.
Education
Degrees, certifications, and relevant coursework
Manipal Institute of Technology
Bachelor of Technology (B.Tech), Computer Science Engineering (Minor: Big Data)
2020 - 2024
Pursued a B.Tech in Computer Science Engineering with a minor in Big Data from 2020 to 2024.
Availability
Location
Authorized to work in
Job categories
Skills
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